OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images
Jamal N. Hasoon, Ali Fadel, Rasha Subhi Hameed, et al.
Results in Physics (2021) Vol. 31, pp. 105045-105045
Open Access | Times Cited: 75

Showing 26-50 of 75 citing articles:

An efficient ensemble method for detecting spinal curvature type using deep transfer learning and soft voting classifier
Parisa Tavana, Mahdi Akraminia, Abbas Koochari, et al.
Expert Systems with Applications (2022) Vol. 213, pp. 119290-119290
Closed Access | Times Cited: 14

Detection of COVID-19 Disease with Machine Learning Algorithms from CT Images
Mahmut Nedim Ekersular, Ahmet Alkan
GAZI UNIVERSITY JOURNAL OF SCIENCE (2023) Vol. 37, Iss. 1, pp. 169-181
Open Access | Times Cited: 7

A novel deep fusion strategy for COVID-19 prediction using multimodality approach
Ankush Manocha, Munish Bhatia
Computers & Electrical Engineering (2022) Vol. 103, pp. 108274-108274
Open Access | Times Cited: 10

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling
Guang Li, Ren Togo, Takahiro Ogawa, et al.
Computers in Biology and Medicine (2023) Vol. 158, pp. 106877-106877
Open Access | Times Cited: 6

Pneumonia screening on chest X-rays with optimized ensemble model
Sravani Nalluri, R. Sasikala
Expert Systems with Applications (2023) Vol. 242, pp. 122705-122705
Closed Access | Times Cited: 6

Towards Automated Multiclass Severity Prediction Approach for COVID-19 Infections Based on Combinations of Clinical Data
Ahmed M. Dinar, Enas A. Raheem, Karrar Hameed Abdulkareem, et al.
Mobile Information Systems (2022) Vol. 2022, pp. 1-8
Open Access | Times Cited: 9

Automatic detection of COVID-19 and pneumonia from chest X-ray images using texture features
Farnaz Sheikhi, Aliakbar Taghdiri, Danial Moradisabzevar, et al.
The Journal of Supercomputing (2023) Vol. 79, Iss. 18, pp. 21449-21473
Closed Access | Times Cited: 5

A novel framework based on deep learning for COVID-19 diagnosis from X-ray images
Seyyed-Mohammad Javadi-Moghaddam
PeerJ Computer Science (2023) Vol. 9, pp. e1375-e1375
Open Access | Times Cited: 4

Robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images
Shaik Mahaboob Basha, Victor Hugo C. de Albuquerque, Samia Allaoua Chelloug, et al.
Computer Modeling in Engineering & Sciences (2023) Vol. 138, Iss. 2, pp. 1981-2004
Open Access | Times Cited: 4

Covid-19 Detection by Machine Learning Using Chest Radiographs
Umar Alqasemi, Abdullah Al Baiti
International Journal for Scientific Research (2024) Vol. 3, Iss. 2, pp. 247-266
Open Access | Times Cited: 1

X-Ray Based Lung Disease Classification Using Fine-Tuned VGG16 Model
Ronit Gehani, Akila Victor
(2024), pp. 533-538
Closed Access | Times Cited: 1

A fast residual attention network for fine-grained unsupervised anomaly detection and localization
Najeh Nafti, Olfa Besbes, Asma Ben Abdallah, et al.
Applied Soft Computing (2024) Vol. 165, pp. 112066-112066
Closed Access | Times Cited: 1

Machine learning in handling disease outbreaks: a comprehensive review
Dianadewi Riswantini, Ekasari Nugraheni
Bulletin of Electrical Engineering and Informatics (2022) Vol. 11, Iss. 4, pp. 2160-2168
Open Access | Times Cited: 6

Classification of Chest X-ray COVID-19 Images Using the Local Binary Pattern Feature Extraction Method
Narin Aslan, Şengül Doğan, Gonca Özmen Koca
Turkish Journal of Science and Technology (2022) Vol. 17, Iss. 2, pp. 299-308
Open Access | Times Cited: 6

New approach based on light enhancement and real-time dual CNN for classification of COVID-19 X-ray images
Samir Hallaci, Brahim Farou, Zineddine Kouahla, et al.
Evolving Systems (2023) Vol. 15, Iss. 3, pp. 1073-1097
Closed Access | Times Cited: 3

Composite score for anomaly detection in imbalanced real-world industrial dataset
Arnaud Bougaham, Mohammed El Adoui, Isabelle Linden, et al.
Machine Learning (2023) Vol. 113, Iss. 7, pp. 4381-4406
Closed Access | Times Cited: 3

Classification of Alzheimer’s Disease Based on Weakly Supervised Learning and Attention Mechanism
Xiaosheng Wu, Shuangshuang Gao, Junding Sun, et al.
Brain Sciences (2022) Vol. 12, Iss. 12, pp. 1601-1601
Open Access | Times Cited: 5

Deep Learning Convolutional Neural Network for SARS-CoV-2 Detection Using Chest X-Ray Images
Ali Mohammed Saleh Ahmed, Inteasar Yaseen Khudhair, Salam Abdulkhaleq Noaman
Acta Informatica Pragensia (2023) Vol. 12, Iss. 1, pp. 71-86
Open Access | Times Cited: 2

Deep learning models/techniques for COVID-19 detection: a survey
Kumari Archana, Amandeep Kaur, Yonis Gulzar, et al.
Frontiers in Applied Mathematics and Statistics (2023) Vol. 9
Open Access | Times Cited: 2

COVID-19 Classification With Healthcare Images Based on ML-DL Methods
Shreeharsha Dash, Subhalaxmi Das
Advances in systems analysis, software engineering, and high performance computing book series (2023), pp. 112-124
Closed Access | Times Cited: 2

Multithreshold Segmentation and Machine Learning Based Approach to Differentiate COVID-19 from Viral Pneumonia
Shaik Mahaboob Basha, Aloísio Vieira Lira Neto, Samah Alshathri, et al.
Computational Intelligence and Neuroscience (2022) Vol. 2022, pp. 1-12
Open Access | Times Cited: 4

Covid-19 Classification and Detection Model using Deep Learning
Meghna Madhu, Anushka Xavier, N. Jayapandian
2022 International Conference on Electronics and Renewable Systems (ICEARS) (2022), pp. 1457-1462
Closed Access | Times Cited: 3

CrodenseNet: An efficient parallel cross DenseNet for COVID-19 infection detection
Jingdong Yang, Lei Zhang, Xinjun Tang
Biomedical Signal Processing and Control (2022) Vol. 77, pp. 103775-103775
Open Access | Times Cited: 3

Machine Learning Performances for Covid-19 Images Classification based Histogram of Oriented Gradients Features
Yessi Jusman, Wikan Tyassari, Difa Nisrina, et al.
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS) (2022), pp. 1-6
Closed Access | Times Cited: 3

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